Description

You will design and implement machine learning solutions at scale.

Responsibilities

• Develop and deploy ML models and automated pipelines for business use cases.
• Manage feature stores and monitor model performance and reliability.
• Apply advanced ML techniques, including NLP, entity resolution, and AI agents.
• Optimize models and pipelines for scalability, performance, and cost efficiency.
• Collaborate with stakeholders to translate business challenges into ML solutions.

Required Skills

• 12+ years in AI/ML, data science, or data engineering.
• Expertise in Python and PySpark.
• Hands-on experience with Databricks and Delta Lake.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong foundation in ML algorithms, statistics, and mathematics.
• Familiarity with MLOps, model versioning, CI/CD, and monitoring.
• Knowledge of Data Governance and data quality/drift monitoring.
• Experience applying AI/ML principles.

Key Skills

Education

Bachelor’s/Master’s degree